One person, four roles

Most two-sided marketplaces force you into a side. Etsy buyers are buyers; Etsy sellers are sellers. App Store users install apps; App Store creators ship them. The two populations rarely overlap. @appss is built differently, the same person rotates through four roles depending on context, and that rotation is the retention engine.

The four roles

Role	What they do	What they get
Reader	Discovery, opens apps, leaves reviews	Content / utility / entertainment
Earner	Stakes Stars, accepts offers, claims bounties	USDT, XP, Telegram Gifts
Curator / Reviewer	Builds collections, writes reviews, votes	Influence, XP, social capital
Influencer	Verified channel-owner promoting apps	Gifts / NFT / USDT (via bounty + partner)
Creator	Submits an app, uses Apps Pro toolkit	Audience, conversions, monetisation

The same person, on a single TON wallet, on a single identity, fluidly moves between these. Most consumer-marketplace products engineer for one role. We engineered for the rotation.

Why this is the retention loop

Multi-role engagement compounds

• A reader without earn-mechanics: 1–2 visits and gone.
• An earner without discovery: one-shot.
• A curator without an audience: pointless.
• All four combined: every day there's a reason to come back.

Fluid role transitions are the natural funnel

Reader → realises curators get paid → becomes curator → builds a collection audience → de-facto influencer → submits their own app → becomes creator. All four stages on one platform. That's not a marketing funnel; that's a user lifetime path through which monetisation surface area only grows.

Network effects per role

• More readers → more views → being a creator is more valuable
• More creators → more apps → being a reader is more valuable
• More influencers → more organic promotion → CAC drops for creators
• More payouts → more earners → DAU rises → catalog more valuable

Each role makes every other role more valuable. Apple / Google App Stores have one of these loops. Discord has two. We have four, and they're connected through one wallet and one identity.

Liquidity layer, TON wallet

A single TON address works on both sides simultaneously:

• Reader stakes Stars → earns USDT
• Influencer wins a Gift → sells / converts
• Creator funds a partner-pool → pays USDT
• User cashes out → on-chain transfer

No re-onboarding between roles. The same wallet is the consumer wallet and the creator-funding wallet.

Where this differs from comparable platforms

Platform	Multi-role	Crypto-payout	Curation = earn	Creator pipeline on the same surface
App Store (Apple / Google)	❌	❌	❌	❌
Discord	✅ partial	❌	❌	❌
TikTok Creator Fund	❌	❌	❌	partial
@appss	✅	✅	✅	✅

Each ✓ matters for different reasons:

• Multi-role: the retention compounding above.
• Crypto-payout: users in markets where banking rails are messy can still earn in something convertible. This is the mostly-non-Western economy advantage.
• Curation = earn: writing a review or building a collection isn't volunteer labour, it's monetised. People keep doing it.
• Creator pipeline on the same surface: a curator who decides to submit their own app doesn't need to migrate to a different product. The on-ramp is a click, not an install.

What this enables on the business side

• The partner-program commission stream (see business model) only works because curators-who-become-influencers stay on-platform and complete the loop.
• The App Store traffic-sales stream only works once DAU stabilises, DAU stabilises specifically because the same user has multiple reasons to come back.
• The influencer-marketplace fee stream only works because we know which curators are actually influencers, they live on the same identity, with verifiable conversion data.

What's still pending validation

• % of users actively rotating two or more roles. We see the mechanic empirically; we don't yet have a formal cohort number.
• Retention difference: single-role vs. multi-role users. Anecdotally significant; not yet quantified.
• Real case studies of full reader → creator journeys. Some exist; not formalised.
• Stickiness ranking by role. Which role keeps people closest? Hypothesis: earner is fastest in, curator is stickiest, creator has highest LTV, confirmed cohort data pending.

Read next

• Positioning, the two-product structure these roles flow across.
• Business model, how multi-role users feed each of the five revenue streams.
• Social graph fragmentation, why we don't try to build a separate identity layer; the host platform's graph is already the identity layer.

For cohort data, role-transition analytics, and concrete reader-to-creator case studies, email mark@engagelabs.org.